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JMLR
2008
151views more  JMLR 2008»
15 years 3 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
HYBRID
2000
Springer
15 years 7 months ago
Hybrid Systems Diagnosis
This paper reports on an on-going project to investigate techniques to diagnose complex dynamical systems that are modeled as hybrid systems. In particular, we examine continuous s...
Sheila A. McIlraith, Gautam Biswas, Dan Clancy, Vi...
149
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NJC
2006
125views more  NJC 2006»
15 years 3 months ago
PRO: A Model for the Design and Analysis of Efficient and Scalable Parallel Algorithms
Abstract. We present a new parallel computation model called the Parallel ResourceOptimal computation model. PRO is a framework being proposed to enable the design of efficient and...
Assefaw Hadish Gebremedhin, Mohamed Essaïdi, ...
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
16 years 3 months ago
A new efficient probabilistic model for mining labeled ordered trees
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...
141
Voted
BMCBI
2006
94views more  BMCBI 2006»
15 years 3 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...